Recently, various conferences and journals have published articles related to Video
Surveillance Systems, indicating researchers 'attention. The goal of this review is to examine …

Digital photography and videography provide rich data for the study of animal behavior and
are consequently widely used techniques. For fixed, unmoving cameras there is a resolution …

In this study, a spatial-dependent background model for detecting objects is used in severe
imaging conditions. It is robust in the cases of sudden illumination fluctuation and burst …

In this paper, we employ Single-hidden Layer Feedforward Neural networks in order to
perform human action recognition based on multiple action representations. In order to …

Background Subtraction Based on Co-occurrence Pixel-Block Pairs for Robust Object
Detection in Dynamic Scenes Page 1 IIEEJ Paper Background Subtraction Based on Co-occurrence …

In this paper, we investigate the effectiveness of the Extreme Learning Machine (ELM)
network in facial image classification. In order to enhance performance, we exploit …

This article presents an intelligent surveillance system based on stereovision for dynamic
tracking of moving objects with autofocus and lossless zoom capabilities. The core …

IP Pan-Tilt-Zoom cameras (IP PTZ) are now common in videosurveillance areas as they are
easy to deploy and can take high resolution pictures of targets in a large field of view thanks …

We proposed a new similarity measure method which could be used within the framework of
probability trackers based on the particle filter to track the object. In the particle filter …